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The Strong Consensus Opinion Dynamics On Adaptive Networks

Author

Listed:
  • RU WANG

    (Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, P. R. China)

  • XU CAI

    (Complexity Science Center, Institute of Particle Physics, Central China Normal University, Wuhan 430079, P. R. China)

Abstract

Many real-world networks are characterized by adaptive changes in their topology depending on the state of their nodes. Here we explore the continuous Sznajd opinion model on an adaptive network, where the link between agents with far apart opinion will get rewired. Our investigations reveal that the adaptation of the network topology fosters cluster formation by enhancing communication between agents, though the Sznajd rule is most effective to achieve a full synchronization of the agents. The interplay between dynamics and topology can have important consequences for the spreading of the opinions.

Suggested Citation

  • Ru Wang & Xu Cai, 2008. "The Strong Consensus Opinion Dynamics On Adaptive Networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(12), pages 1939-1947.
    • Handle: RePEc:wsi:ijmpcx:v:19:y:2008:i:12:n:s0129183108013333
    DOI: 10.1142/S0129183108013333
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